
During the month, contributed to the deepflowio/deepflow repository by delivering a targeted bug fix that enhanced data accuracy and governance for organization-scoped analytics. Focused on backend development using Go and SQL, the work addressed Custom Business Service Filtering in query execution by ensuring organization-based filters were consistently applied across relevant tables, excluding alert_event. The default filter condition was updated from 1=1 to 1!=1, improving the reliability of analytics dashboards and data security. The fix, traceable through a dedicated commit in the Slimit component, demonstrated careful debugging and maintainability improvements within the project’s backend data processing pipeline.
Concise monthly summary for 2025-11 for deepflowio/deepflow: Delivered a targeted bug fix for Custom Business Service Filtering in Query Execution, improving data accuracy and governance for organization-scoped analytics. The fix ensures the custom business filter based on organization ID applies across tables (except alert_event) and updates the default condition from 1=1 to 1!=1. Commit 1c25eaccca7cabec092e3eb9e017ab09d5e08eb7 provides traceability in the Slimit component. Overall, this enhances reliability of dashboards and data security.
Concise monthly summary for 2025-11 for deepflowio/deepflow: Delivered a targeted bug fix for Custom Business Service Filtering in Query Execution, improving data accuracy and governance for organization-scoped analytics. The fix ensures the custom business filter based on organization ID applies across tables (except alert_event) and updates the default condition from 1=1 to 1!=1. Commit 1c25eaccca7cabec092e3eb9e017ab09d5e08eb7 provides traceability in the Slimit component. Overall, this enhances reliability of dashboards and data security.

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